> ## Documentation Index
> Fetch the complete documentation index at: https://docs.contextual.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Agent Composer Template Catalog
> Explore specialized AI agent templates for various domain-specific applications
## Overview
This page contains specialized AI agent templates for various domain-specific applications. Each template is configured with custom prompts, tools, and workflows to provide expert-level assistance in its respective field.
Templates here that are **not** based on [Basic Search](/how-to-guides/agent-composer-templates#basic-search) or [Agentic Search](/how-to-guides/agent-composer-templates#agentic-search) are available only for Enterprise. [Request a demo](https://contextual.ai/request-a-demo) to use them. See [Agent Composer Templates](/how-to-guides/agent-composer-templates) for availability by template type.
***
## Engineering / Heavy Industry
[Drilling Operations Advisor (drilling\_operations\_advisor.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/drilling_operations_advisor.yml)
A decision support specialist for oil and gas drilling operations that analyzes real-time drilling data and offset well performance:
* **Risk Identification:** Stuck pipe, kicks, lost circulation, wellbore instability
* **Data Analysis:** MWD/LWD data, geological prognosis, alarm sequences, drilling parameters
* **Performance Optimization:** ROP benchmarking, parameter recommendations, NPT reduction
* **Regulatory Context:** SPE papers, IADC guidelines, industry best practices
Use Cases: Real-time drilling optimization, risk assessment, NPT prevention, offset well analysis
[Equipment Failure Predictive Maintenance (equipment\_failure\_predictive\_maintenance.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/equipment_failure_predictive_maintenance.yml)
A reliability engineering advisor for industrial facilities that predicts equipment failures before they occur:
* **Condition Monitoring:** Vibration analysis, oil analysis, thermal imaging, ultrasonic testing
* **Failure Mode Analysis:** FMEA documents, OEM manuals, historical failure patterns
* **Maintenance Planning:** Intervention timing, parts availability, cost-benefit analysis
* **Risk Assessment:** Criticality evaluation, failure probability, production impact
Use Cases: Predictive maintenance, equipment reliability analysis, maintenance scheduling, failure investigation
[Process Safety Incident Investigator (process\_safety\_incident\_investigator.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/process_safety_incident_investigator.yml)
A systematic incident investigation specialist for chemical and petrochemical facilities:
* **Investigation Protocol:** Timeline reconstruction, barrier analysis (Swiss Cheese model), root cause identification
* **Data Sources:** Alarm historian, DCS parameters, P\&IDs, HAZOP reports, SOPs, MOC records
* **Regulatory Compliance:** OSHA PSM, EPA RMP, CSB database searches
* **Output:** Comprehensive investigation reports with CAPA recommendations
Use Cases: Process safety investigations, near-miss analysis, NPT root cause analysis, safety audits
***
## Enterprise & Legal
[Fast Search (fast\_search.yaml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/fast_search.yaml)
A streamlined, lightweight search template for quick document retrieval and response generation:
* **Simple Architecture:** Direct search-to-response pipeline without multi-turn research
* **Fast Performance:** Minimal configuration for rapid queries
* **Basic RAG:** Standard retrieval with citation and groundedness tracking
Use Cases: Quick lookups, simple Q\&A, straightforward document search
[Patent Reasoning (patent\_reasoning.yaml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/patent_reasoning.yaml)
A specialized patent analysis agent that conducts rigorous legal-technical investigations:
* **Analysis Types:** Prior art search, claim interpretation, infringement analysis, freedom to operate
* **Claim Decomposition:** Element-by-element parsing, means-plus-function identification
* **Search Strategy:** Patent classification search, citation chains, non-patent prior art
* **Legal Framework:** Anticipation, obviousness, doctrine of equivalents
Use Cases: Patent validity analysis, infringement assessment, prior art searches, claim construction
[Deep Research (deep\_research.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/deep_research.yml)
A comprehensive retrieval-augmented research assistant that conducts thorough, multi-step investigations across document repositories. Follows a structured five-phase protocol:
* **Query Analysis & Planning:** Decomposes questions into sub-questions and creates search strategies
* **Broad Discovery:** Maps the information landscape with diverse searches
* **Deep Exploration:** Drills into promising areas with targeted queries
* **Gap Analysis:** Identifies and fills blind spots in retrieved information
* **Synthesis:** Integrates findings with precise citations
Use Cases: Academic research, technical documentation analysis, comprehensive fact-finding
[Demand Forecasting (demand\_forecasting.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/demand_forecasting.yml)
An intelligent supply chain planning assistant designed for demand planners, inventory managers, and business analysts. Provides end-to-end forecasting capabilities:
* **Data Sources:** Sales history, inventory levels, supplier information, market reports, forecast accuracy metrics
* **Analysis Tools:** Statistical forecasting, code execution for calculations, trend visualization
* **Output Options:** Forecast reports, charts, executive presentations (PowerPoint generation)
* **External Intelligence:** Web search for market trends and economic indicators
Use Cases: Demand planning, inventory optimization, sales trend analysis, safety stock calculations
***
## Aerospace
[Rocket Anomaly Detection (rocket\_anomaly\_detection.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/rocket_anomaly_detection.yml)
A propulsion anomaly investigation agent for rocket engine test engineers:
* **Anomaly Characterization:** Identifies performance deviations from expected parameters
* **Data Integration:** Test telemetry, hardware change logs, manufacturing records, historical anomaly databases
* **Pattern Matching:** Correlates symptoms with known failure mode signatures
* **Root Cause Analysis:** Systematically narrows down potential causes using evidence
Use Cases: Post-test anomaly investigation, engine performance diagnosis, failure mode identification
[Rocket Test Readiness Compliance Agent (rocket\_test\_readiness\_compliance\_agent.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/rocket_test_readiness_compliance_agent.yml)
A Test Readiness Review (TRR) assistant for rocket propulsion testing compliance:
* **Standards Compliance:** NASA-STD-8719.24, NPR 8715.3, NASA-STD-8719.12, NASA-STD-5012, NASA-STD-8739.8
* **Verification Checks:** Instrumentation calibration, propellant qualification, safety reviews, personnel certifications
* **Data Cross-Reference:** Matches regulatory requirements against actual test data
* **Output:** TRR verification matrices with go/no-go recommendations
Use Cases: Pre-test readiness verification, regulatory compliance checks, safety certification
***
## Semiconductor
[Semiconductor Test Program Generation (semiconductor\_test\_program\_generation.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/semiconductor_test_program_generation.yml)
A specialized assistant for generating test programs for semiconductor devices:
* **Documentation Analysis:** Datasheets, test specifications, application notes, pin configurations
* **Test Program Elements:** Device configuration, test sequences, parametric tests, pass/fail criteria
* **Technical Parameters:** Electrical characteristics, timing parameters, voltage levels, current ratings
* **Output:** Complete test programs with proper citations to source documentation
Use Cases: Semiconductor test development, ATE programming, device validation, quality assurance
[Semiconductor Tech Customer Support (semis\_tech\_customer\_support.yml)](https://github.com/ContextualAI/agent-composer/blob/main/templates/semis_tech_customer_support.yml)
A technical support assistant specializing in semiconductor product troubleshooting:
* **Knowledge Sources:** Product manuals, datasheets, application notes, support case history database
* **Issue Resolution:** Functional failures, performance degradation, integration challenges, design limitations
* **Interface Support:** SPI, I2C, UART, USB, Ethernet, PCIe
* **Presentation Generation:** Creates PowerPoint presentations for technical findings
Use Cases: Customer support, technical troubleshooting, product integration assistance, design advisory
***
## Materials Science
**Material Science Agent**
A research assistant for materials science that answers questions about thermal properties, strength characteristics, synthesis methods, and material selection by searching thousands of arXiv research papers. Explains in **ELI5** (“explain like I’m 5”) style—simple, clear, and accessible:
* **Property Analysis:** Thermal conductivity, mechanical strength, electrical properties, chemical stability
* **Synthesis Guidance:** Methods, conditions, experimental parameters, process optimization
* **Material Comparison:** Side-by-side property comparisons across material classes
* **Application Research:** Material recommendations for specific use cases and environments
Use Cases: Materials research, property lookup, synthesis guidance, material selection, literature review
```yaml theme={null}
version: "0.1"
inputs:
query: str
outputs:
response: str
ui_output: response
nodes:
__outputs__:
type: output
input_mapping: {}
```